Quality Of Research Research Articles

Sacroiliac Joint Dysfunction in Endurance Runners Using Wearable Technology as a Clinical Monitoring Tool: Systematic Review

Background In recent years, researchers have delved into the relationship between the anatomy and biomechanics of sacroiliac joint (SIJ) pain and dysfunction in endurance runners to elucidate the connection between lower back pain and the SIJ. However, the majority of SIJ pain and dysfunction cases are diagnosed and managed through a traditional athlete-clinician arrangement, where the athlete must attend regular in-person clinical appointments with various allied health professionals. Wearable sensors (wearables) are increasingly serving as a clinical diagnostic tool to monitor an athlete’s day-to-day activities remotely, thus eliminating the necessity for in-person appointments. Nevertheless, the extent to which wearables are used in a remote setting to manage SIJ dysfunction in endurance runners remains uncertain. Objective This study aims to conduct a systematic review of the literature to enhance our understanding regarding the use of wearables in both in-person and remote settings for biomechanical-based rehabilitation in SIJ dysfunction among endurance runners. In addressing this issue, the overarching goal was to explore how wearables can contribute to the clinical diagnosis (before, during, and after) of SIJ dysfunction. Methods Three online databases, including PubMed, Scopus, and Google Scholar, were searched using various combinations of keywords. Initially, a total of 4097 articles were identified. After removing duplicates and screening articles based on inclusion and exclusion criteria, 45 articles were analyzed. Subsequently, 21 articles were included in this study. The quality of the investigation was assessed using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) evidence-based minimum set of items for reporting in systematic reviews. Results Among the 21 studies included in this review, more than half of the investigations were literature reviews focusing on wearable sensors in the diagnosis and treatment of SIJ pain, wearable movement sensors for rehabilitation, or a combination of both for SIJ gait analysis in an intelligent health care setting. As many as 4 (19%) studies were case reports, and only 1 study could be classified as fully experimental. One paper was classified as being at the “pre” stage of SIJ dysfunction, while 6 (29%) were identified as being at the “at” stage of classification. Significantly fewer studies attempted to capture or classify actual SIJ injuries, and no study directly addressed the injury recovery stage. Conclusions SIJ dysfunction remains underdiagnosed and undertreated in endurance runners. Moreover, there is a lack of clear diagnostic or treatment pathways using wearables remotely, despite the availability of validated technology. Further research of higher quality is recommended to investigate SIJ dysfunction in endurance runners and explore the use of wearables for rehabilitation in remote settings.

Plagiarism Detection

We are in Information age and there is lots of information available over internet. Most of the information over internet is produced as duplicate by the different authors. In order to maintain credentials of the original work of the author and improve the quality of research, plagiarism checking software may be useful. With help of plagiarism checking software, we can avoid the duplicacy in research and academic writings. This paper gives an overview of various effective plagiarism detection methods that have been used for plagiarism detection to identify that how much work is original and how much work is illegal and copied from others’ original works

Effect of Probiotic Supplements on the Oral Microbiota—A Narrative Review

Data from systematic reviews and meta-analyses show that probiotics positively impact clinical parameters of oral diseases such as gingivitis, dental caries, and periodontitis. However, the working mechanism of probiotics is not fully understood, but is hypothesized to be mediated by direct and indirect interactions with the oral microbiota and the human host. In the present narrative review, we focused on the microbiological effect of probiotic supplements based on data retrieved from randomized clinical trials (RCTs). In addition, we assessed to what extent contemporary molecular methods have been employed in clinical trials in the field of oral probiotics. Multiple RCTs have been performed studying the potential effect of probiotics on gingivitis, dental caries, and periodontitis, as evaluated by microbial endpoints. In general, results are conflicting, with some studies reporting a positive effect, whereas others are not able to record any effect. Major differences in terms of study designs and sample size, as well as delivery route, frequency, and duration of probiotic consumption, hamper comparison across studies. In addition, most RCTs have been performed with a limited sample size using relatively simple methods for microbial identification, such as culturing, qPCR, and DNA–DNA checkerboard, while high-throughput methods such as 16S sequencing have only been employed in a few studies. Currently, state-of-the-art molecular methods such as metagenomics, metatranscriptomics, and metaproteomics have not yet been used in RCTs in the field of probiotics. The present narrative review revealed that the effect of probiotic supplements on the oral microbiota remains largely uncovered. One important reason is that most RCTs are performed without studying the microbiological effect. To facilitate future systematic reviews and meta-analyses, an internationally agreed core outcome set for the reporting of microbial endpoints in clinical trials would be desirable. Such a standardized collection of outcomes would most likely improve the quality of probiotic research in the oral context.

The Joint Effect of Competitive Strategies, Competitive Advantage, Ethical Values, and Corporate Reputation on Performance of Accredited Universities in Kenya

The broad objective of the study was to determine the joint effect of competitive strategies, competitive advantage, ethical values and corporate reputation on performance of accredited universities in Kenya. The corresponding null hypothesis stated that the joint effect of competitive strategies, competitive advantage, ethical values and corporate reputation on performance of accredited universities in Kenya is not significantly different from the independent effects of predictor variables. This study was anchored on Industrial organization theory, Stakeholders’ theory, Resource-based theory and Virtue’s ethics theory. Descriptive cross-sectional survey was used. The population of the study comprised 53 accredited universities. To collect data, semi structured questionnaires were administered online while a few were dropped and picked later. Data was analyzed using regression models. Findings from the test of hypotheses showed that the joint effect of competitive strategies, competitive advantage, ethical values and corporate reputation on performance was significantly different from the independent effects of predictor variables and thus the null hypothesis was rejected. The study outcomes contributed to theory, policy, and management practice where policy makers in higher education and university managers were recommended to establish a policy framework that observes ethical practices; quality programs, reliable training, research and adoption of competitive strategies such as market penetration, strategic alliances, product development focus, differentiation and cost leadership. A single respondent was deemed to introduce bias in choosing responses and was a limitation to the study. However, use of questionnaires reduced subjectivism in responses. For generalizability of results Longitudinal design was suggested for future studies.

Research on sound quality of roller chain transmission system based on multi-source transfer learning

To establish the sound quality evaluation model of roller chain transmission system, we collect the running noise under different working conditions. After the noise samples are preprocessed, a group of experienced testers are organized to evaluate them subjectively. Mel frequency cepstral coefficient (MFCC) of each noise sample is calculated, and the MFCC feature map is used as an objective evaluation. Combining with the subjective and objective evaluation results of the roller chain system noise, we can get the original dataset of its sound quality research. However, the number of high-quality noise samples is relatively small. Based on the sound quality research of various chain transmission systems, a novel method called multi-source transfer learning convolutional neural network (MSTL-CNN) is proposed. By transferring knowledge from multiple source tasks to target task, the difficulty of small sample sound quality prediction is solved. Compared with the problem that single source task transfer learning has too much error on some samples, MSTL-CNN can give full play to the advantages of all transfer learning models. The results also show that the MSTL-CNN proposed in this paper is significantly better than the traditional sound quality evaluation methods.

Misstatements, misperceptions, and mistakes in controlling for covariates in observational research.

We discuss 12 misperceptions, misstatements, or mistakes concerning the use of covariates in observational or nonrandomized research. Additionally, we offer advice to help investigators, editors, reviewers, and readers make more informed decisions about conducting and interpreting research where the influence of covariates may be at issue. We primarily address misperceptions in the context of statistical management of the covariates through various forms of modeling, although we also emphasize design and model or variable selection. Other approaches to addressing the effects of covariates, including matching, have logical extensions from what we discuss here but are not dwelled upon heavily. The misperceptions, misstatements, or mistakes we discuss include accurate representation of covariates, effects of measurement error, overreliance on covariate categorization, underestimation of power loss when controlling for covariates, misinterpretation of significance in statistical models, and misconceptions about confounding variables, selecting on a collider, and p value interpretations in covariate-inclusive analyses. This condensed overview serves to correct common errors and improve research quality in general and in nutrition research specifically.

Autistic Traits Associated with the Fragile X Premutation Allele: The Neurodevelopmental Profile.

Although most individuals who carry the Fragile X premutation allele, defined as 55-200 CGG repeats on the X-linked FMR1 gene (Fragile X Messenger Ribonucleoprotein 1 gene), do not meet diagnostic criteria for autism spectrum disorder, there is a suggestion of increased behaviors associated with subtle autistic traits. More autism associated characteristics have been reported among adults than children. This may highlight a possible worsening developmental trajectory, variable findings due to research quality or differences in number of studies done in adults vs children, rather than true developmental changes. This review is designed to examine the neurodevelopmental profile associated with the premutation allele from a developmental perspective, focused on autistic traits.

The promises and limitations of artificial intelligence for quality improvement, patient safety, and research in hospital medicine.

The promises and limitations of artificial intelligence for quality improvement, patient safety, and research in hospital medicine.

How prepared are newly qualified allied health professionals for practice in the UK? A systematic review

ObjectivesIt is important that allied health professionals (AHPs) are prepared for clinical practice from the very start of their working lives to provide quality care for patients, for their personal...

Research Data Management in the Croatian Academic Community: A Research Study

This paper presents the results of an empirical research study of Croatian scientists’ use and management of research data. This research study was carried out from 28 June 2023 until 31 August 2023 using an online questionnaire consisting of 28 questions. The answers of 584 respondents working in science were filtered out for further analysis. About three-quarters of the respondents used the research data of other scientists successfully. Research data were mostly acquired from colleagues from the same department or institution. Roughly half of the respondents did not ask other scientists directly for their research data. Research data are important to the respondents mostly for raising the quality of research. Repeating someone else’s research by using their research data is still a problem. Less than one-third of the respondents provided full access to their research data mostly due to their fear of misuse. The benefits of research data sharing were recognized but few of the respondents received any reward for it. Archiving research data is a significant problem for the respondents as they dominantly use their own computers prone to failure for that activity and do not think about long-term preservation. Finally, the respondents lacked deeper knowledge of research data management.

Ethical Issues in Educational Research

Ethical issues are important aspects of research to make research practice honest and transparent. The researcher must follow specific rules and ethical guidelines to meet the expectations of the research community and academia. These rules and regulations are for fairness and integrity in the field of research. In this research paper, the authors have made a solemn effort to delineate the critical ethical issues and how they can degrade the quality of research and cause trouble to any investigator. This paper focuses on ethical issues, ethical standards, guidelines, and concerns of artificial intelligence so that no researcher faces any problem before, during, or after the study. As technology expands and its integration into education, teaching, and research emerges, the authors have stipulated that artificial intelligence can be a concern and threat to ethical standards in educational research.

Relationships of emerging biomarkers of cancer cachexia with quality of life, appetite, and cachexia

PurposeQuality of life (QoL), appetite, cachexia, and biomarkers [albumin, hemoglobin (Hb), neutrophils, lymphocytes, platelets, C-reactive protein (CRP), tumor necrosis factor alpha (TNFα), interleukin 6 (IL-6), interleukin 8 (IL-8), C-X-C motif chemokine ligand 5 (CXCL5) and citrullinated histoneH3 (H3Cit)] were compared for 40 cases with advanced cancer and 40 healthy controls. Baseline differences and significant relationships were explored for biomarkers with QoL, appetite, and cachexia.MethodsIn a prospective case–control, age and sex matched study, the European Organisation for the Research and Treatment of Cancer Quality of Life–C30 questionnaire (EORTC-QLQ-C30) for QoL, the Functional Assessment of Anorexia and Cachexia Therapy assessment (FAACT A/CS-12) for appetite, and a five-factor cachexia assessment tool for cachexia assessment were performed. Routine hematological measurements and blood chemistry analyses together with ELISA procedures and a Multiplex® bead array platform, were used for biomarker analysis. Descriptive statistics and regression analyses were undertaken. P < 0.05 defined statistical significance.ResultsGlobal health status (QL-G), functional scales (QL-FS), and symptom scales (QL-SS) differed for cases and controls (p < 0.01). In cases, differences were observed for QL-G (p < 0.01), QL-FS (p < 0.01), and QL-SS (p = 0.01) compared to standardized references values. FAACT A/CS-12 scores differed significantly between cases and controls (p < 0.01) and 30% of cases scored “poor” appetites. Cachexia was present in 60% of cases. Albumin, lymphocytes, platelets, Hb, platelet to lymphocyte ratio (PLR), systemic immune-inflammation index (SII), CRP, TNFα, all at p < 0.01, neutrophil to lymphocyte ratio (NLR) (p = 0.02), IL-6 (p < 0.04), and IL-8 (p = 0.02) differed significantly between cases and controls. No difference was found for CXCL5 or H3Cit. Albumin NLR, Hb, PLR, SII, TNFα, IL-8, and CRP showed significant relationships with all aspects of QoL. QL-FS was significantly related to CXCL5 (p = 0.04), significant relationships with FAACT A/CS-12 included: NLR (p = 0.002), Hb (p < 0.001), and PLR (p < 0.01). NLR, PLR, SII, TNFα, IL-6, IL-8, and CRP correlated positively to cachexia and albumin while Hb and lymphocyte count correlated negatively to cachexia.ConclusionCXCL5 and H3Cit were not reliable biomarkers for cancer cachexia, nor significantly related to QoL, appetite or cachexia. Albumin, NLR, Hb, PLR, SII, TNFα, IL-8, and CRP were reliable indicators of QoL, appetite, and cachexia. Future research should include other novel biomarkers namely growth differentiation factor-15 (GDF-15), fibroblast growth factor 21 (FGF-21), fractakline, interferon gamma (IFN-y), IL-16, macrophage colony stimulating factor (M-CSF), and macrophage procoagulant–inducing factor (MPIF).

Reporting Conflicts of Interest and Funding in Health Care Guidelines: The RIGHT-COI&F Checklist.

Conflicts of interest (COIs) of contributors to a guideline project and the funding of that project can influence the development of the guideline. Comprehensive reporting of information on COIs and funding is essential for the transparency and credibility of guidelines. To develop an extension of the Reporting Items for practice Guidelines in HealThcare (RIGHT) statement for the reporting of COIs and funding in policy documents of guideline organizations and in guidelines: the RIGHT-COI&F checklist. The recommendations of the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) network were followed. The process consisted of registration of the project and setting up working groups, generation of the initial list of items, achieving consensus on the items, and formulating and testing the final checklist. International collaboration. 44 experts. Consensus on checklist items. The checklist contains 27 items: 18 about the COIs of contributors and 9 about the funding of the guideline project. Of the 27 items, 16 are labeled as policy related because they address the reporting of COI and funding policies that apply across an organization's guideline projects. These items should be described ideally in the organization's policy documents, otherwise in the specific guideline. The remaining 11 items are labeled as implementation related and they address the reporting of COIs and funding of the specific guideline. The RIGHT-COI&F checklist requires testing in real-life use. The RIGHT-COI&F checklist can be used to guide the reporting of COIs and funding in guideline development and to assess the completeness of reporting in published guidelines and policy documents. The Fundamental Research Funds for the Central Universities of China.

Explanation and Elaboration with Examples for CLEAR (CLEAR-E3): an EuSoMII Radiomics Auditing Group Initiative

Overall quality of radiomics research has been reported as low in literature, which constitutes a major challenge to improve. Consistent, transparent, and accurate reporting is critical, which can be accomplished with systematic use of reporting guidelines. The CheckList for EvaluAtion of Radiomics research (CLEAR) was previously developed to assist authors in reporting their radiomic research and to assist reviewers in their evaluation. To take full advantage of CLEAR, further explanation and elaboration of each item, as well as literature examples, may be useful. The main goal of this work, Explanation and Elaboration with Examples for CLEAR (CLEAR-E3), is to improve CLEAR’s usability and dissemination. In this international collaborative effort, members of the European Society of Medical Imaging Informatics−Radiomics Auditing Group searched radiomics literature to identify representative reporting examples for each CLEAR item. At least two examples, demonstrating optimal reporting, were presented for each item. All examples were selected from open-access articles, allowing users to easily consult the corresponding full-text articles. In addition to these, each CLEAR item’s explanation was further expanded and elaborated. For easier access, the resulting document is available at https://radiomic.github.io/CLEAR-E3/. As a complementary effort to CLEAR, we anticipate that this initiative will assist authors in reporting their radiomics research with greater ease and transparency, as well as editors and reviewers in reviewing manuscripts.Relevance statement Along with the original CLEAR checklist, CLEAR-E3 is expected to provide a more in-depth understanding of the CLEAR items, as well as concrete examples for reporting and evaluating radiomic research.Key points• As a complementary effort to CLEAR, this international collaborative effort aims to assist authors in reporting their radiomics research, as well as editors and reviewers in reviewing radiomics manuscripts.• Based on positive examples from the literature selected by the EuSoMII Radiomics Auditing Group, each CLEAR item explanation was further elaborated in CLEAR-E3.• The resulting explanation and elaboration document with examples can be accessed at https://radiomic.github.io/CLEAR-E3/.Graphical

Cross-Disciplinary Perspectives on Teaching Quality: A Systematic Review

This comprehensive systematic review examines the evolution of teaching quality research globally from 1990 to 2019. Analyzing 182 studies, the review identifies key trends, highlighting a significant rise in academic interest since 2012. Notably, the study underscores the cross-disciplinary nature of teaching quality, emphasizing its departure from isolation. The geographical landscape of research reveals an expanding focus, particularly in Asian countries. The review further explores thematic concentrations, research designs, and authorship patterns, revealing insights into collaboration trends. Journal analysis showcases a diverse academic interest in teaching quality across various disciplines. The conclusion urges researchers to diversify perspectives for continued field development.

Establishment and evaluation of the impact of a supervisory group for chemotherapy safety management in an oncology department.

The nursing model of establishing a chemotherapy safety management supervisory group has guaranteed the safety and effectiveness of intravenous chemotherapy while reducing the adverse effects of chemotherapy and improving patient satisfaction and quality of life. To explore the impact of establishing a nursing supervision group on improving the safety management of patients receiving chemotherapy in the oncology department. We selected a total of 60 patients who underwent chemotherapy at the oncology department between January and June 2021 and assigned them to the control group. They received conventional chemotherapy safety management nursing care. We selected another 60 patients undergoing chemotherapy in the oncology department between July and December 2021 and assigned them to the observation group. They received a nursing intervention model facilitated by the chemotherapy safety supervision team. We compared the intervention effects in the two groups. Patient satisfaction was significantly higher in the observation group than in the control group (P< 0.05); the incidence of post-chemotherapy nausea and vomiting was significantly lower in the observation group than in the control group (P< 0.05); and the self-rating depression scale (SDS) and self-rating anxiety scale (SAS) scores of patients in the observation group were reduced (P< 0.05) and significantly lower than in the control group (P< 0.05). We used the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-core 30 (EORTC-QLQ-C30) and found a statistically significant difference in the quality of life of patients before the nursing intervention and on the day of discharge (P< 0.05). The establishment of a chemotherapy safety management supervisory group was effective in reducing the incidence of post-chemotherapy nausea and vomiting as well as the patient's psychological burden; it could also improve the quality of life of patients and their satisfaction with nursing care.

Decitabine in older patients with AML: quality of life results of the EORTC-GIMEMA-GMDS-SG randomized phase 3 trial

AbstractWe hypothesized that fit older patients with acute myeloid leukemia (AML) treated with decitabine (DEC) would report better health-related quality of life (HRQoL) outcomes than those receiving intensive chemotherapy (IC). We conducted a phase 3 randomized trial to compare DEC (10-day schedule) with IC (3+7) in older fit patients with AML. HRQoL was a secondary end point, and it was assessed with the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (QLQ) Core 30 in conjunction with its elderly module (EORTC QLQ-ELD14). The following scales were a priori selected for defining the primary end point: physical and role functioning, fatigue, pain, and burden of illness. HRQoL was assessed at baseline, at regeneration from cycle 2, and at 6 and 12 months after randomization, and also before allogeneic hematopoietic stem cell transplantation (allo-HSCT) and 100 days after transplantation. Overall, 606 patients underwent randomization. At 2 months, the risk of HRQoL deterioration was lower in the DEC arm than in the 3+7 arm; 76% (95% confidence interval [CI], 69-82) vs 88% (95% CI, 82-93); odds ratio, 0.43 (95% CI, 0.24-0.76; P = .003). No statistically significant HRQoL differences were observed between treatment arms at the long-term evaluation combining assessments at 6 and 12 months. HRQoL deteriorations between baseline and after allo-HSCT were observed in both arms. However, these deteriorations were not clinically meaningful in patients randomized to DEC, whereas this was the case for those in the 3+7 arm, in 4 of 5 primary HRQoL scales. Our HRQoL findings suggest that lower-intensity treatment with DEC may be preferable to current standard IC (3+7) in fit older patients with AML. This trial was registered at www.clinicaltrials.gov as #NCT02172872.

Emerging contaminants in water environments: progress, evolution, and prospects

ABSTRACT This article employs bibliometric tools like VOSviewer, Bibliometrix, and CiteSpace for a comprehensive visual analysis of 1,612 documents on Emerging Contaminants in Waters from the Web of Science database. The objective is to elucidate the historical development, research hotspots, and trends in international studies of this field, offering valuable insights and guidance for future research directions. The analysis reveals a consistent increase in publications from 2003 to 2023, with the United States, China, and Spain being the most prolific contributors. A detailed examination of keyword co-occurrence and cluster analysis shows a predominant focus on themes such as pollutant detection, risk assessment, and biogeochemical cycling. Furthermore, the study underscores the significance of forming interdisciplinary networks among authors and institutions, highlighting its critical role in enhancing the quality and innovation of scientific research. The findings of this study not only chart the progression and focal points of research in this domain but also underscore the pivotal role of international collaboration, serving as an indispensable reference for shaping future research trajectories and fostering global cooperation.

The Role of Scientific Research in Human Papillomavirus Vaccine Discussions on Twitter: Social Network Analysis.

Attitudes toward the human papillomavirus (HPV) vaccine and accuracy of information shared about this topic in web-based settings vary widely. As real-time, global exposure to web-based discourse about HPV immunization shapes the attitudes of people toward vaccination, the spread of misinformation and misrepresentation of scientific knowledge contribute to vaccine hesitancy. In this study, we aimed to better understand the type and quality of scientific research shared on Twitter (recently rebranded as X) by vaccine-hesitant and vaccine-confident communities. To analyze the use of scientific research on social media, we collected tweets and retweets using a list of keywords associated with HPV and HPV vaccines using the Academic Research Product Track application programming interface from January 2019 to May 2021. From this data set, we identified tweets referring to or sharing scientific literature through a Boolean search for any tweets with embedded links, hashtags, or keywords associated with scientific papers. First, we used social network analysis to build a retweet or reply network to identify the clusters of users belonging to either the vaccine-confident or vaccine-hesitant communities. Second, we thematically assessed all shared papers based on typology of evidence. Finally, we compared the quality of research evidence and bibliometrics between the shared papers in the vaccine-confident and vaccine-hesitant communities. We extracted 250 unique scientific papers (including peer-reviewed papers, preprints, and gray literature) from approximately 1 million English-language tweets. Social network maps were generated for the vaccine-confident and vaccine-hesitant communities sharing scientific research on Twitter. Vaccine-hesitant communities share fewer scientific papers; yet, these are more broadly disseminated despite being published in less prestigious journals compared to those shared by the vaccine-confident community. Vaccine-hesitant communities have adopted communication tools traditionally wielded by health promotion communities. Vaccine-confident communities would benefit from a more cohesive communication strategy to communicate their messages more widely and effectively.

Open science practices in traditional, complementary, and integrative medicine research: A path to enhanced transparency and collaboration

This educational article explores the convergence of open science practices and traditional, complementary, and integrative medicine (TCIM), shedding light on the potential benefits and challenges of open science for the development, dissemination, and implementation of evidence-based TCIM. We emphasize the transformative shift in medical science towards open and collaborative practices, highlighting the limited application of open science in TCIM research despite its growing acceptance among patients. We define open science practices and discuss those that are applicable to TCIM, including: study registration; reporting guidelines; data, code and material sharing; preprinting; publishing open access; and reproducibility/replication studies. We explore the benefits of open science in TCIM, spanning improved research quality, increased public trust, accelerated innovation, and enhanced evidence-based decision-making. We also acknowledge challenges such as data privacy concerns, limited resources, and resistance to cultural change. We propose strategies to overcome these challenges, including ethical guidelines, education programs, funding advocacy, interdisciplinary dialogue, and patient engagement. Looking to the future, we envision the maturation of open science in TCIM, the development of TCIM-specific guidelines for open science practices, advancements in data sharing platforms, the integration of open data and artificial intelligence in TCIM research, and changes in the context of policy and regulation. We foresee a future where open science in TCIM leads to a better evidence base, informed decision-making, interdisciplinary collaboration, and transformative impacts on healthcare and research methodologies, highlighting the promising synergy between open science and TCIM for holistic, evidence-based healthcare solutions.